• Aucun résultat trouvé

Prospective issues for error detection

N/A
N/A
Protected

Academic year: 2021

Partager "Prospective issues for error detection"

Copied!
24
0
0

Texte intégral

Loading

Figure

Table 1. Different error taxonomies from literature
Figure 1. Error detection model from Ellis prospective memory model. PE = error positivity.

Références

Documents relatifs

according to which there can be errors. An error, in the context of creative work, may be defined as an action that is done contrary to the actor’s intention. The idea of error only

The test on non-native speech (condition B) was carried out to examine how well this distinction was made in non-native speech and to investigate whether the thresholds obtained

Figure 2: Expected overhead against the number of partial verifications when a single type of detector is employed for three different detectors (with their respective cost and

Applying the test set to these mu- tated program versions shows that all errors of the values are detected, but the error detection rate for mutated variable names or mutated

Apart from grammar errors, the methods discussed above, which work so well for the human and OCR errors, do not work as well or even at all, for the other three error types present

More specifically, we observe three families of approaches in that re- spect: those relying on grammar mal-rules in or- der to specify how to correctly parse what ought to

Keywords: Cluster detection test, Type I error, Simulation study, Edge effect, Spatial

On a simulé l’adsorption d’aniline sur la surface tétraédrique avec une substitution du silicium par l’aluminium en position 1-2, ensuite on a visualisé la